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您的检索式：作者名="Michail Matthaiou"
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| 1 | CSI acquisition in RIS-assisted mobile communication systems显示文摘Reconfigurable intelligent surface-(RIS)assisted mobile communication is a promising technological paradigm thanks to the attractive advantages of low cost and flexible control of electromagnetic waves.However,the low-cost features of RISs entail some fundamental challenges to the acquisition of channel state information(CSI),which is essential for the optimal RIS design.To tackle this problem,there have been extensive studies on CSI acquisition in RIS-assisted mobile communication systems,from the perspective of architectural improvement as well as specific mathematical solutions.This article aims to overview the existing works on CSI acquisition in RIS-assisted mobile communication systems. | Yu Han Wankai Tang Xiao Li Michail Matthaiou Shi Jin | 2023 | National Science Review2023，10，8： | 0 |
| 2 | RIS-enhanced multi-cell downlink transmission using statistical channel state information显示文摘This paper considers a multi-cell downlink transmission system,where a reconfigurable intelligent surface(RIS)is deployed to support the connectivity of users in blind areas(i.e.,at the cell edges).In order to reduce the instantaneous channel state information(CSI)acquisition overhead at each base station(BS),only statistical CSI is considered at both the BSs and the RIS.Particularly,each BS has only statistical CSI within its own cell.Under these assumptions,we first obtain the approximated ergodic spectral efficiency(SE)for each user.Then,we investigate the BSs beamforming and RIS phase shift joint optimization under different criteria.For the approximated ergodic weighted sum SE maximization criteria,a sub-optimal algorithm is proposed,based on complex circle manifold,to design the RIS phase shift while the statistical maximum ratio transmission beamforming is employed at each BS.To ensure fairness,we adopt the projected subgradient-based algorithm in order to optimize the approximated minimum ergodic user SE.Simulation results demonstrate that the approximated ergodic SE expression matches well with the exact expression,whilst the superiority of the weighted sum SE and fairness performance of the proposed algorithms are verified. | Xiao LI Luoluo JIANG Caihong LUO Yu HAN Michail MATTHAIOU Shi JIN | 2023 | Science China(Information Sciences)2023，66，11： | 0 |
| 3 | Coexistence Between Massive MIMO and Radar Communications:Performance Analysis显示文摘Frequency spectrum sharing between radar and communication systems has recently attracted substantial attention.We consider the coexistence between a massive multiple-input multiple-output(MIMO)downlink system and MIMO radar to enable the operation of these two systems with minimal mutual interference.Through an asymptotic analysis,we show that by using more antennas at the base station(BS),we can improve the performance of massive MIMO,while keeping the interference to the radar system unchanged.Additionally,if we use a large number of antennas at the BS and make the transmit power inversely proportional to the number of antennas,we can avoid the interference from the massive MIMO system to the radar system,with no compromise in the performance of the massive MIMO system.Closed-form expressions for the probability of detection of the radar system and the downlink spectral efficiency of the massive MIMO system,are derived.Furthermore,we propose a power allocation scheme which selects the transmit powers at the MIMO radar and BS to maximize the probability of detection for the MIMO radar.Interestingly,the optimal power allocation can be determined in closed-form.These results provide valuable insights into the practical coexistence between massive MIMO and radar systems. | Mohamed Elfiatoure Hien Quoc Ngo Michail Matthaiou | 2023 | Journal of Communications and Information Networks2023，8，1： | 0 |
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